mlsanityData to 14 Oct 2026

Emotion-Aware Interaction Design in Intelligent User Interface Using Multi-Modal Deep Learning

arXiv 2411.06326 ↗First posted 10 Nov 2024cs.HC cs.LGcited by 13

Not on the map. Why?

Abstract (arXiv)

In an era where user interaction with technology is ubiquitous, the importance of user interface (UI) design cannot be overstated. A well-designed UI not only enhances usability but also fosters more natural, intuitive, and emotionally engaging experiences, making technology more accessible and impactful in everyday life. This research addresses this growing need by introducing an advanced emotion recognition system to significantly improve the emotional responsiveness of UI. By integrating facial expressions, speech, and textual data through a multi-branch Transformer model, the system interprets complex emotional cues in real-time, enabling UIs to interact more empathetically and effectively with users. Using the public MELD dataset for validation, our model demonstrates substantial improvements in emotion recognition accuracy and F1 scores, outperforming traditional methods. These findings underscore the critical role that sophisticated emotion recognition plays in the evolution of UIs, making technology more attuned to user needs and emotions. This study highlights how enhanced emotional intelligence in UIs is not only about technical innovation but also about fostering deeper, more meaningful connections between users and the digital world, ultimately shaping how people interact with technology in their daily lives.

Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). Builds on 19 of its 25 references that are in the map. First posted on arXiv 10 Nov 2024.

Builds on

19 of 25 references.

References · 19

  1. 2024Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Miningcited by 47
  2. 2024Self-Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networkscited by 33
  3. 2024Dynamic Fraud Detection: Integrating Reinforcement Learning into Graph Neural Networkscited by 19
  4. 2024Research on Adverse Drug Reaction Prediction Model Combining Knowledge Graph Embedding and Deep Learningcited by 17
  5. 2024A Lightweight GAN-Based Image Fusion Algorithm for Visible and Infrared Imagescited by 11
  6. 2024Wasserstein Distance-Weighted Adversarial Network for Cross-Domain Credit Risk Assessmentcited by 11
  7. 2024Optimizing YOLOv5s Object Detection through Knowledge Distillation algorithmcited by 11
  8. 2024Adversarial Neural Networks in Medical Imaging Advancements and Challenges in Semantic Segmentationcited by 10
  9. 2024Unveiling the Potential of Graph Neural Networks in SME Credit Risk Assessmentcited by 9
  10. 2024Applying Hybrid Graph Neural Networks to Strengthen Credit Risk Analysiscited by 8
  11. 2024Balancing Innovation and Privacy: Data Security Strategies in Natural Language Processing Applicationscited by 8
  12. 2024A Recommendation Model Utilizing Separation Embedding and Self-Attention for Feature Miningcited by 8
7 more
  1. 2024Deep Learning for Medical Text Processing: BERT Model Fine-Tuning and Comparative Studycited by 8
  2. 2024Automated Genre-Aware Article Scoring and Feedback Using Large Language Modelscited by 7
  3. 2024Deep Learning with HM-VGG: AI Strategies for Multi-modal Image Analysiscited by 7
  4. 2024Deep Learning-Based Channel Squeeze U-Structure for Lung Nodule Detection and Segmentationcited by 6
  5. 2024Predicting Liquidity Coverage Ratio with Gated Recurrent Units: A Deep Learning Model for Risk Managementcited by 6
  6. 2024Axial Attention Transformer Networks: A New Frontier in Breast Cancer Detectioncited by 5
  7. 2024Optimizing Retrieval-Augmented Generation with Elasticsearch for Enhanced Question-Answering Systemscited by 5

Built on by

Cited by year

Citing papers per year: 2024: 13.

13 papers.

Sort:

  1. 2024Adaptive Optimization for Enhanced Efficiency in Large-Scale Language Model Trainingcited by 13
  2. 2024Graph Neural Network-Based Entity Extraction and Relationship Reasoning in Complex Knowledge Graphscited by 9
  3. 2024Enhancing Few-Shot Learning with Integrated Data and GAN Model Approachescited by 9
  4. 2024A Combined Encoder and Transformer Approach for Coherent and High-Quality Text Generationcited by 7
  5. 2024Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Datacited by 7
  6. 2024Accurate Medical Named Entity Recognition Through Specialized NLP Modelscited by 7
  7. 2024AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAPcited by 7
  8. 2024Advanced Risk Prediction and Stability Assessment of Banks Using Time Series Transformer Modelscited by 6
  9. 2024Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervisioncited by 6
  10. 2024Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothingcited by 5
  11. 2024Optimizing Multi-Task Learning for Enhanced Performance in Large Language Modelscited by 5
  12. 2024Collaborative Optimization in Financial Data Mining Through Deep Learning and ResNeXtcited by 5
1 more
  1. 2024Computer Vision-Driven Gesture Recognition: Toward Natural and Intuitive Human-Computercited by 3